Senior Information Security Infrastructure Engineer - Security Architecture - InfoSec

Elastic

Portugal

On-site

EUR 70,000 - 120,000

Full time

14 days+

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Job summary

Search AI Company seeks a Senior Information Security Infrastructure Engineer to protect our data and systems. You will own the security telemetry pipeline from ingestion to storage in Elasticsearch, ensuring reliability across production clusters.

The role offers opportunities to work on meaningful security projects and collaborate with a skilled information security team. You will deploy and manage Kubernetes-based infrastructure, leverage Terraform to provision cloud resources, and apply

Qualifications

  • Experience running Elasticsearch in production.
  • Strong Kubernetes experience with deploying and operating workloads.
  • Proven track record of applying AI to accelerate development and operations.

Responsibilities

  • Security telemetry ingestion - build and maintain ingestion of security-relevant data into Elasticsearch.
  • Keep the company Cloud on Kubernetes clusters healthy; monitor and upgrade; manage capacity and ILM.
  • Use Terraform to manage cloud infrastructure and Elasticsearch resources; deploy with Helm.
  • Develop and implement AI-assisted tooling to reduce toil and improve alerting and investigations.
  • Ensure data quality and cost control by monitoring schemas, pipelines, and backfills.

Skills

Elasticsearch
Kubernetes
Terraform
Helm
Cloud infrastructure
AI tooling
Security telemetry
ECK

Tools

Terraform

Job description

the company, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The the company Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — the company’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI.

What is The Role :

Join the InfoSec - Security Architecture team as a Senior Information Security Infrastructure Engineer, where you'll have the chance to play a key role in protecting our organization's data and systems. This position offers the opportunity to work on meaningful projects that directly impact our security posture and collaborate with a skilled team passionate about information security.

In more details: We ingest the security telemetry that the whole security org runs on. In this role you'll get that telemetry into Elasticsearch consistently and keep the underlying the company clusters healthy. You own the pipeline end to end: from a new security data source landing, through ingest pipelines, into the indices detection, IR, and consulting teams query, plus the clusters that store it all.

What You Will Be Doing :
  • Security telemetry ingestion - build and maintain ingestion of security-relevant data into Elasticsearch (cloud provider audit logs, identity/SaaS activity, endpoint and asset data). This means integrating with third-party and cloud provider APIs to pull telemetry: auth, pagination, rate limits, and handling schema changes. Both the company integrations and one-off custom integrations.
  • Keep the the company Cloud on Kubernetes clusters healthy. Monitor and upgrade them regularly. This involves updating versions and builds. Manage capacity and shards. Handle index lifecycle management (ILM). Enable cross-cluster search (CCS).
  • Use Terraform to manage cloud infrastructure and Elasticsearch resources. This includes managing pipelines, index templates, and alerts. Utilize Kubernetes and Helm to deploy scheduled ingest jobs.
  • Use AI automation and tooling to reduce toil. This includes self-healing jobs and health checks. It also involves alerting, internal CLIs, and AI or agent-assisted workflows for investigation and operations.
  • Data quality & reliability - Own the 'is the security data actually flowing correctly?' question. Monitor backfills. Ensure that schemas and fields are consistent. Keep an eye on costs.
What You Bring :
  • Ability to operate the company and Elasticsearch in production. This includes managing ingest pipelines, index templates, mappings, and queries, while ensuring that clusters are healthy and upgraded. Experience with ECK or Elasticsearch on Kubernetes is strongly preferred.
  • Proven track record of using AI to accelerate development, debug complex systems, and accelerate operations, while still owning the final outcomes.
  • Kubernetes - deploying and operating workloads (scheduled jobs, Helm charts, operators); troubleshooting pods/jobs in a cluster.
  • Terraform - managing cloud and Elasticsearch resources as code.<
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